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[SPARK-17388][SQL] Support for inferring type date/timestamp/decimal for partition column - #14947
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HyukjinKwon wants to merge 4 commits into
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[SPARK-17388][SQL] Support for inferring type date/timestamp/decimal for partition column#14947HyukjinKwon wants to merge 4 commits into
HyukjinKwon wants to merge 4 commits into
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HyukjinKwon
commented
Sep 3, 2016
MemberAuthor
Some tests might be failed due to #14919. |
SparkQA
commented
Sep 3, 2016
Test build #64893 has finished for PR 14947 at commit
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MemberAuthor
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IIUC, decimal is not being inferred before.
HyukjinKwon
commented
Sep 11, 2016
MemberAuthor
Hi @davies , it seems you made some changes related with this before. Could you please take a look? |
SparkQA
commented
Sep 11, 2016
Test build #65219 has finished for PR 14947 at commit
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MemberAuthor
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Ah, I think I should check this requirement. I will update the description soon too.
MemberAuthor
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Checked and I added some more end-to-end tests.
SparkQA
commented
Sep 12, 2016
Test build #65234 has finished for PR 14947 at commit
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HyukjinKwon
commented
Sep 16, 2016
MemberAuthor
ping @davies |
HyukjinKwon
commented
Oct 1, 2016
MemberAuthor
gentle ping @davies |
HyukjinKwon
commented
Oct 8, 2016
MemberAuthor
@davies I can just remove the decimal change here if you are uncertain of this. |
HyukjinKwon
commented
Oct 15, 2016
MemberAuthor
ping @davies .. |
davies
commented
Oct 16, 2016
Contributor
LGTM |
MemberAuthor
Thanks @davies. (I forgot to push the commits.) |
SparkQA
commented
Oct 18, 2016
Test build #67131 has finished for PR 14947 at commit
|
davies
commented
Oct 18, 2016
Contributor
Merging this into master, thanks! |
robert3005 pushed a commit
to palantir/spark
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Nov 1, 2016
… for partition column ## What changes were proposed in this pull request? Currently, Spark only supports to infer `IntegerType`, `LongType`, `DoubleType` and `StringType`. `DecimalType` is being tried but it seems it never infers type as `DecimalType` as `DoubleType` is being tried first. Also, it seems `DateType` and `TimestampType` could be inferred. As far as I know, it is pretty common to use both for a partition column. This PR fixes the incorrect `DecimalType` try and also adds the support for both `DateType` and `TimestampType` for inferring partition column type. ## How was this patch tested? Unit tests in `ParquetPartitionDiscoverySuite`. Author: hyukjinkwon <gurwls223@gmail.com> Closesapache#14947 from HyukjinKwon/SPARK-17388.
uzadude pushed a commit
to uzadude/spark
that referenced
this pull request
Jan 27, 2017
… for partition column ## What changes were proposed in this pull request? Currently, Spark only supports to infer `IntegerType`, `LongType`, `DoubleType` and `StringType`. `DecimalType` is being tried but it seems it never infers type as `DecimalType` as `DoubleType` is being tried first. Also, it seems `DateType` and `TimestampType` could be inferred. As far as I know, it is pretty common to use both for a partition column. This PR fixes the incorrect `DecimalType` try and also adds the support for both `DateType` and `TimestampType` for inferring partition column type. ## How was this patch tested? Unit tests in `ParquetPartitionDiscoverySuite`. Author: hyukjinkwon <gurwls223@gmail.com> Closesapache#14947 from HyukjinKwon/SPARK-17388.
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What changes were proposed in this pull request?
Currently, Spark only supports to infer
IntegerType,LongType,DoubleTypeandStringType.DecimalTypeis being tried but it seems it never infers type asDecimalTypeasDoubleTypeis being tried first. Also, it seemsDateTypeandTimestampTypecould be inferred.As far as I know, it is pretty common to use both for a partition column.
This PR fixes the incorrect
DecimalTypetry and also adds the support for bothDateTypeandTimestampTypefor inferring partition column type.How was this patch tested?
Unit tests in
ParquetPartitionDiscoverySuite.